I don't want them to, but Snapchat would have a great dataset to make an actually funny LLM. (sh.itjust.works)

submitted 1 week ago by [email protected] to c/[email protected]

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My groupchats use those react emoji all the time. Maybe they could train a model to classify with those. Then use that classifier to help RL models into being funny.

All my funniest groupchats are on Snapchat.

I don't think this would be ethical, but it could be effective.

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[-] [email protected] 2 points 1 week ago

Humor is rather subjective, but if you feel you have THE material for "Humor bot 2000", then there are ways of fine-tuning your own model with exactly that kind of Humor.

I haven't tried them, but if they suck ass to setup, maybe your snapchat buds could help out.

https://github.com/xming521/WeClone (can be used on free Colab apparently) https://github.com/mindverse/Second-Me

These are meant to create an 'Avatar' to represent a user, but you can train them with anything. Not sure how they handle audio/pics or the important Timing parts involved in humor, but both finetune a model with your personal training set, so extract your funny shit in the right format and go for it ;-)

[-] [email protected] 1 points 1 week ago

Yo thanks for the resources! I never even considered doing it myself. Kinda scared it would reflect me too well yk lol.

I may give this a shot.

this post was submitted on 22 May 2025

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